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Pda Multicurve

Checked
rustydotwtf·vlatest·data·MIT

Generates multi-currency curves from PDA data, simplifying complex exchange rate modeling and analysis for financial applications.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add whetstoneresearch/doppler-skills --skill pda-multicurve -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

rustydotwtf

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned rustydotwtf/doppler-skills at 4f654fea1f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
4f654fea1f
Manifest
skills/pda-multicurve/SKILL.md
Scanned
6 files, 992 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The pda-multicurve skill allows AI agents to process and interpret data presented as multiple curves. It's designed for scenarios requiring analysis of time series data or datasets with varying trends, enabling more nuanced understanding than single-value assessments. This skill facilitates the extraction of insights from complex datasets by identifying patterns and relationships across different curves simultaneously.

When to use it

  • Analyzing stock market performance: Compare multiple company stocks over a given period.
  • Monitoring environmental factors: Track temperature, humidity, and air quality changes concurrently.
  • Evaluating scientific experiments: Process data from various sensors or measurement tools in a single analysis.
  • Optimizing industrial processes: Analyze production rates alongside resource consumption to identify inefficiencies.

Key capabilities

  • Curve interpretation
  • Time series data processing
  • Multi-variable analysis
  • Pattern recognition across curves

Example prompts

  • "Analyze these three temperature curves and tell me which one is most stable."
  • "Compare the sales curve of product A with the marketing spend curve over the last quarter."
  • "Identify any correlations between these two stock price curves."

Tips & gotchas

The skill requires data to be formatted in a way that clearly delineates each curve. Ensure your input is well-structured and labeled for optimal results.